Brain MRI artefact detection and correction using convolutional neural networks


Öksüz İ.

COMPUTER METHODS AND PROGRAMS IN BIOMEDICINE, cilt.199, 2021 (SCI-Expanded) identifier identifier identifier

  • Yayın Türü: Makale / Tam Makale
  • Cilt numarası: 199
  • Basım Tarihi: 2021
  • Doi Numarası: 10.1016/j.cmpb.2020.105909
  • Dergi Adı: COMPUTER METHODS AND PROGRAMS IN BIOMEDICINE
  • Derginin Tarandığı İndeksler: Science Citation Index Expanded (SCI-EXPANDED), Scopus, Academic Search Premier, PASCAL, Applied Science & Technology Source, BIOSIS, Biotechnology Research Abstracts, Compendex, Computer & Applied Sciences, EMBASE, INSPEC, MEDLINE
  • Anahtar Kelimeler: Brain MRI, Artefact detection, Convolutional neural networks, Stroke segmentation
  • İstanbul Teknik Üniversitesi Adresli: Evet

Özet

Background and Objective: Brain MRI is one of the most commonly used diagnostic imaging tools to detect neurodegenerative disease. Diagnostic image quality is a key factor to enable robust image analysis algorithms developed for downstream tasks such as segmentation. In clinical practice, one of the main challenges is the presence of image artefacts, which can lead to low diagnostic image quality.